Jumpol Polvichai

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Coordination of large numbers of agents for performing complex tasks in complex domains is a rapidly progressing area of research. Because of the high complexity of the problem, approximate and heuristic algorithms are typically used for key coordination tasks. Such algorithms usually require tuning of algorithm parameters to get the best performance in(More)
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where characteristics of the environment vary dramatically from scenario to scenario, it is desirable to have automated techniques for appropriately configuring the coordination. This paper(More)
Heterogeneous teams of robots, cyber agents, and people working can work together to search an urban disaster site much more safely, efficiently, and quickly than human rescue workers alone. As a step towards realizing this goal, our RoboCup 2004 U.S. Open Rescue Robot team consists of two robots with different capabilities, a human operator, and an(More)
A behavior-based approach has been effectively applied for the design of robot control systems, and evolutionary algorithms have also been implemented as the approach to generate the robot control systems automatically. In this paper, we propose an integration of both concepts as an automatic behavior programming system. By adapting from the idea of(More)
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